Classification of magnetic resonance images using a novel neural network


Dokur Z., Olmez T.

IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, Hangzhou, China, 26 - 28 September 2000, pp.242-243 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Hangzhou
  • Country: China
  • Page Numbers: pp.242-243

Abstract

Classification of the biomedical images has considerable diagnostic significance in medicine. It is important to classify and display tissues in biomedical images fast and automatically. In this study, an artificial neural network trained by genetic algorithms (NetGA) is proposed for magnetic resonance (MR) image classification.